An Application of Random Walk Resampling to Phylogenetic HMM Inference and Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on NanoBioscience"
DOI: 10.1109/tnb.2020.2991302
Abstract: Statistical resampling methods are widely used for confidence interval placement and as a data perturbation technique for statistical inference and learning. An important assumption of popular resampling methods such as the standard bootstrap is that… read more here.
Keywords: application random; inference; sequence; inference learning ... See more keywords
Neural spiking for causal inference and learning
Sign Up to like & getrecommendations! Published in 2023 at "PLOS Computational Biology"
DOI: 10.1371/journal.pcbi.1011005
Abstract: When a neuron is driven beyond its threshold, it spikes. The fact that it does not communicate its continuous membrane potential is usually seen as a computational liability. Here we show that this spiking mechanism… read more here.
Keywords: causal inference; neural spiking; inference learning; causal ... See more keywords